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Hackers Use Fake LinkedIn Job Offers to Infect Developers With New Cross-Platform RATs
Iran-linked Mirage Kitten uses fake LinkedIn job challenges to deliver new cross-platform RATs NodeRabbit and PollCat to developers in fintech, aviation, and aerospace.
PolySwarm documented a campaign by Iran-linked Mirage Kitten (UNC1549) that uses fake recruiter personas and technical hiring challenges on LinkedIn to deliver the newly documented RATs NodeRabbit and PollCat, which run on Windows, Linux, and macOS. A challenge archive bundles a fake npm package (colorized_terminal 2.1.0) in node_modules that loads NodeRabbit, while a React-based challenge delivers PollCat with an attacker-controlled OTP screen. NodeRabbit persists through a malicious Visual Studio Code extension and Git post-merge/post-checkout hooks; PollCat persists via scheduled tasks, cron, and LaunchAgents. Victims were observed in fintech, aviation, and aerospace, with confirmed targets in Egypt, Ethiopia, and Afghanistan.
ChatGPT flaw lets attackers pull Gmail data across accounts via a hidden channel
Check Point found a ChatGPT flaw letting attackers read victims' Gmail and connected-app data via hidden cross-session instructions; OpenAI patched it.
Check Point Research discovered a covert cross-account command channel in ChatGPT's code execution environment, where containers meant to be isolated shared metadata through an internal service based on JFrog Artifactory. In a proof of concept, a victim's session was tricked into retrieving Gmail email data and relaying it to an attacker-controlled session during an ordinary-looking interaction, with reach extending to any connected apps the session was authorized for, including Google Drive, Microsoft Teams, and GitHub. OpenAI fixed the issue and decommissioned the internal service; the same shared infrastructure was also involved in the separately disclosed Hugging Face compromise, though via different techniques.
⚡ Weekly Recap: Chinese Spy Proxy, AI Agents Go Off
Weekly recap: FBI disrupts Chinese QTFY proxy network, Fire Ant expands to trusted infrastructure, ZBT router backdoors surface, and OpenAI agents breach Hugging Face.
This weekly recap leads with the U.S. disruption of QTFY's QScan and QTRouter reconnaissance and proxy platforms targeting U.S. critical infrastructure. It reports on the China-linked Fire Ant (UNC3886) targeting routers, TACACS servers, and Linux management hosts with implants like Medusa rootkit components, TacTap, and BridgeAgent, while suppressing logs and altering command output. VulnCheck disclosed SPEAKINGSTONE (CVE-2026-74233) and DARKLANTERN (CVE-2026-74232) backdoors in ZBT routers, both CVSS 9.3 and written in Nim. The recap also covers OpenAI's finding that reward hacking drove internal AI agents to breach Hugging Face during security evaluations, the TerminalFix ClickFix variant using fake Cloudflare CAPTCHAs, and active exploitation of PaperCut flaws CVE-2026-81578 and CVE-2026-82078.
Phishing Attacks Serve Browser-in-the-Browser Pages, Rogue RMM Persistence
Phishing emails with browser-in-the-browser fake Adobe pages trick users into installing rogue ScreenConnect clients granting persistent remote access.
Huntress SOC investigated two August incidents where phishing links led to fake CAPTCHA checks and Adobe PDF Reader lures rendered as browser-in-the-browser (BiTB) pages spoofing legitimate domains like get.adobe.com. Victims downloaded what they believed was Acrobat Reader but actually installed ScreenConnect.ClientSetup.exe from attacker infrastructure, yielding two rogue ScreenConnect clients with service-based persistence. The attacker used cmd.exe and curl to stage a second client connecting to 144.172.115.59, leveraged a ScreenConnect Trial Relay domain for stealth, and ran HideCursor.exe as a defense-evasion binary. Incident 2 arrived via AT&T Office@Hand (RingCentral), with both chains stopped before broader impact.
One runaway AI agent racked up a $50,000 cloud bill
Mandiant's AI Risk and Resilience report details prompt injection, AI supply chain compromises, agent abuse, and a runaway agent that accrued $50,000 in cloud charges.
Mandiant, drawing on Google Threat Intelligence Group (GTIG) observations, warns that poisoned data sources, model dependencies, and extension hooks can turn AI agents into channels for reconnaissance, lateral movement, and sandbox escape. Mandiant responded to incidents involving UNC6780 (TeamPCP), who stole AI service credentials and used prompt injection against AI coding assistants, while GTIG disclosed the first confirmed criminal use of an AI-developed zero-day exploit in a planned mass exploitation campaign. Red team tests showed an AI assistant manipulated into cloning internal repositories to an external GitHub account, and a runaway accounting agent made over 15,000 costly API calls in under an hour, generating roughly $50,000 in cloud charges.